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Studying Hopfield models via fully lifted random duality theory

Studying Hopfield models via fully lifted random duality theory

29 November 2023
M. Stojnic
ArXivPDFHTML

Papers citing "Studying Hopfield models via fully lifted random duality theory"

5 / 5 papers shown
Title
Theoretical limits of descending $\ell_0$ sparse-regression ML
  algorithms
Theoretical limits of descending ℓ0\ell_0ℓ0​ sparse-regression ML algorithms
Mihailo Stojnic
34
0
0
10 Oct 2024
Capacity of the Hebbian-Hopfield network associative memory
Capacity of the Hebbian-Hopfield network associative memory
M. Stojnic
38
0
0
04 Mar 2024
Fl RDT based ultimate lowering of the negative spherical perceptron
  capacity
Fl RDT based ultimate lowering of the negative spherical perceptron capacity
M. Stojnic
18
4
0
27 Dec 2023
Capacity of the treelike sign perceptrons neural networks with one
  hidden layer -- RDT based upper bounds
Capacity of the treelike sign perceptrons neural networks with one hidden layer -- RDT based upper bounds
M. Stojnic
21
4
0
13 Dec 2023
Binary perceptrons capacity via fully lifted random duality theory
Binary perceptrons capacity via fully lifted random duality theory
M. Stojnic
18
5
0
29 Nov 2023
1